Triple
T21377314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athanasius Kircher |
E527245
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kircher |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kircher | Statement: [Athanasius Kircher, familyName, Kircher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kircher Context triple: [Athanasius Kircher, familyName, Kircher]
-
A.
Athanasius Kircher
chosen
Athanasius Kircher was a 17th-century German Jesuit scholar and polymath known for his wide-ranging works on subjects such as Egyptology, linguistics, comparative religion, and natural philosophy.
-
B.
Jérôme Kircher
Jérôme Kircher is a French actor known for his work in film, television, and theater.
-
C.
Roemer
Roemer is a surname most notably associated with Timothy J. Roemer, an American politician and former U.S. ambassador.
-
D.
Campanella
Campanella is an Italian-origin surname most famously associated with Roy Campanella, the Hall of Fame catcher for the Brooklyn Dodgers.
-
E.
Nicolaus
Nicolaus is a small unincorporated community in Sutter County, California, located near the Feather River in the Sacramento Valley.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0c8768c8190ad7cddf5cd1d06f7 |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:11 p.m.